How to Use the ChartMogul MCP in Vercel AI SDK

Q: How do I connect ChartMogul to the Vercel AI SDK?

Install the @ai-sdk/mcp package and initialize it with createMCPClient. Point the transport URL to your Vinkius endpoint, extract the tools via mcpClient.tools(), and pass them to streamText.

Q: How do I close the connection after getting metrics?

Always call mcpClient.close() when your route handler finishes. This prevents memory leaks in your Next.js backend after the user gets their ARR data.

Build React and Next.js dashboards that stream ChartMogul SaaS metrics live to users using the Vercel AI SDK.

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Connect ChartMogul MCP to Vercel AI SDK

Create your Vinkius account to connect ChartMogul to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup ChartMogul with Vercel AI SDK

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Stream MRR Data via MCP Server

Your Next.js app should never make users stare at a loading spinner when querying revenue. Connect this MCP Server and let your AI client stream the results of `get_mrr_metrics` straight into your UI components. The user sees their monthly recurring revenue chart populate in real time as the model processes the incoming numbers. You can do the exact same thing for broader financial data. Call `get_subscription_metrics` and the Vercel AI SDK will push the ARR, churn rates, and overall subscription health directly to the browser. The frontend renders the metrics instantly.

Render Customer Details Live

Building a customer success dashboard means you need instant context on accounts. When a user asks about a specific client, your agent hits `get_mogul_customer_details` and streams that profile back instantly. Support reps get the exact billing history they need without switching tabs. If they need a broader view, the agent triggers `list_mogul_customers` to pull a full directory. The frontend handles the incoming data chunks, rendering a table row by row without freezing the page or blocking the main thread.

Map Revenue Sources

SaaS billing rarely lives in just one system. You might have Stripe, PayPal, and manual invoices feeding into your metrics. The `list_mogul_data_sources` tool lets your agent identify exactly where the revenue numbers are originating. Before pulling heavy analytics, the model verifies the connection using `ping_mogul_api`. This simple check ensures your Vercel edge functions do not waste execution time trying to fetch `get_arr_metrics` from an offline or misconfigured source.

Setup guide

Set up ChartMogul MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all ChartMogul tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent ChartMogul transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ChartMogul. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about ChartMogul MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package and initialize it with `createMCPClient`. Point the transport URL to your Vinkius endpoint, extract the tools via `mcpClient.tools()`, and pass them to `streamText`.

The SDK streams the raw data returned by the MCP tools. You take the JSON from tools like `get_mrr_metrics` and feed it into your own React charting library like Recharts or Tremor.

Vinkius manages the actual ChartMogul API keys. Your Vercel app only needs the single endpoint token to connect to the MCP server.

Always call `mcpClient.close()` when your route handler finishes. This prevents memory leaks in your Next.js backend after the user gets their ARR data.

Your customer counts, MRR, and ARR figures stay isolated. Vinkius runs the server in a V8 Isolate Sandbox that destroys itself immediately after your Vercel edge function disconnects. No data persists.

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